Wanjun Zhong | DeepAI

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Chao Li
169 publications
Nan Duan
128 publications
Xuanjing Huang
123 publications
Yang Chen
117 publications
Ming Zhou
107 publications
Daxin Jiang
100 publications
Weizhu Chen
89 publications
Jian-Guang Lou
53 publications
Jingjing Xu
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Yan Gao
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Mike Zheng Shou
49 publications

∙ 09/19/2023

Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models

Learnersourcing involves students generating and sharing learning resour...

0 Qiming Bao, et al. ∙

∙ 06/27/2023

GroundNLQ @ Ego4D Natural Language Queries Challenge 2023

In this report, we present our champion solution for Ego4D Natural Langu...

0 Zhijian Hou, et al. ∙

∙ 05/21/2023

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text

Pre-trained large language model (LLM) is under exploration to perform N...

2 Qiming Bao, et al. ∙

∙ 05/17/2023

MemoryBank: Enhancing Large Language Models with Long-Term Memory

Revolutionary advancements in Large Language Models have drastically res...

0 Wanjun Zhong, et al. ∙

∙ 04/13/2023

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Evaluating the general abilities of foundation models to tackle human-le...

0 Wanjun Zhong, et al. ∙

∙ 11/16/2022

An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022

This technical report describes the CONE approach for Ego4D Natural Lang...

0 Zhijian Hou, et al. ∙

∙ 10/20/2022

Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers

This paper presents ReasonFormer, a unified reasoning framework for mirr...

0 Wanjun Zhong, et al. ∙

∙ 10/11/2022

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA

Retrieving evidences from tabular and textual resources is essential for...

0 Junjie Huang, et al. ∙

∙ 09/22/2022

CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Video temporal grounding (VTG) targets to localize temporal moments in a...

0 Zhijian Hou, et al. ∙

∙ 05/18/2022

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

We present LogiGAN, an unsupervised adversarial pre-training framework f...

0 Xinyu Pi, et al. ∙

∙ 05/13/2022

Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering

A key challenge in video question answering is how to realize the cross-...

0 Zenan Xu, et al. ∙

∙ 04/05/2021

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach

Producing the embedding of a sentence in an unsupervised way is valuable...

0 Junjie Huang, et al. ∙

∙ 12/28/2020

Syntax-Enhanced Pre-trained Model

We study the problem of leveraging the syntactic structure of text to en...

0 Zenan Xu, et al. ∙

∙ 10/15/2020

Neural Deepfake Detection with Factual Structure of Text

Deepfake detection, the task of automatically discriminating machine-gen...

0 Wanjun Zhong, et al. ∙

∙ 04/29/2020

Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection

We study the detection of propagandistic text fragments in news articles...

7 Ruize Wang, et al. ∙

∙ 04/28/2020

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network

Verifying the correctness of a textual statement requires not only seman...

0 Wanjun Zhong, et al. ∙

∙ 04/25/2020

A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts

We study question answering over a dynamic textual environment. Although...

0 Wanjun Zhong, et al. ∙

∙ 09/09/2019

Reasoning Over Semantic-Level Graph for Fact Checking

We study fact-checking in this paper, which aims to verify a textual cla...

17 Wanjun Zhong, et al. ∙

∙ 09/05/2018

Improving Question Answering by Commonsense-Based Pre-Training

Although neural network approaches achieve remarkable success on a varie...

0 Wanjun Zhong, et al. ∙

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